The healthcare industry is evolving rapidly with volumes of data and increasing challenges. Early adopters of AI and machine learning in the healthcare space have embraced new data-driven initiatives and are reaping the benefits not only in terms of patient care but also in their own operations. 

Hospitals, physicians, and laboratories can now use patient data and medical records to continuously improve patient outcomes, deliver care without increasing costs, and streamline clinical workflows. By using H2O.ai, a GPU accelerated and open source leader in AI and automatic machine learning, healthcare companies are able to manage claims management, detect fraud, predict hospital-acquired infections, and, most importantly, save more lives. 

Responding to COVID-19 with AI

With the global pandemic, healthcare professionals are facing multiple challenges in this fight against COVID-19 including a shortage of essential supplies, as well as staffing requirements per hospital as an example.  

AI models are important to glean insights from data, forecast patterns, and make critical decisions. It helps providers predict when, where, and how much they need to prepare for a sudden increase in demand. H2O.ai has co-innovated with leading healthcare organizations during the pandemic including hospital staff predictions, ICU transfer and triage, and population risk segmentation. Learn more here. 

H2O.ai at HLTH with NVIDIA

To foster knowledge advancement in AI and healthcare, we are excited to announce that we will be joining NVIDIA at HLTH, a virtual conference organized by HLTH Foundation, from October 12-16.  

Learn more and register for the event here. 

Read a blog by Renee Yao about the latest advancements from NVIDIA in the healthcare industry with AI.